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Senior Data Scientist II (CMC Development)

Posted 8 days agoViewed

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💎 Seniority level: Senior, 4+ years (PhD), 10+ years (Master’s Degree), 12+ years (Bachelor’s Degree)

📍 Location: United States

🔍 Industry: Biotech/Pharma

🗣️ Languages: English

⏳ Experience: 4+ years (PhD), 10+ years (Master’s Degree), 12+ years (Bachelor’s Degree)

🪄 Skills: PythonSoftware DevelopmentSQLData AnalysisMachine LearningAlgorithmsData scienceData StructuresCommunication SkillsAnalytical SkillsData visualizationData modeling

Requirements:
  • Strong background in machine learning (ML) modeling for scientific applications
  • Excellent written and oral English communication skills.
  • Ability to work in a global environment with teams at multiple sites.
Responsibilities:
  • Conceive, design and implement new solutions that solve significant scientific or business problems through the integration, visualization, and analysis of large and complex data.
  • Demonstrate the ability to resolve key project hurdles and assumptions by effectively utilizing available information and technical expertise.
  • Demonstrate high proficiency across a wide range of technologies related to the storage, transfer, integration, visualization, and analysis of large and complex data sets.
  • Demonstrate deep knowledge of the pharmaceutical and healthcare business, with a particular focus on the science done in CMC Development, and utilize this knowledge in the rapid advancement of impactful solutions.
  • Operate independently with guidance or oversight from a supervisor when needed.
  • Proactively seek out new information and technologies in the literature/public domain and incorporate into individual project(s) as well as the overall program
  • May mentor/supervise a team of one or more and guide and evaluate the performance of those individuals; is accountable for the effective performance of the team/individuals.
  • Understand and adhere to corporate standards regarding applicable Corporate and Divisional Policies, including code of conduct, safety, GxP compliance, and data security.
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